Automated knee bone segmentation and visualisation using mask RCNN and marching cube: Data from the osteoarthritis initiative
In this work, an automated knee bone segmentation model is proposed. A mask region-based convolutional neural network (RCNN) algorithm is developed to segment the bone and reconstructed into 3D object by using Marching-Cube algorithm. The proposed method is divided into two stages. First, the Mask R...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Akademi Sains Malaysia
2022
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/101146/1/MuhammadHanifRamlee2022_AutomatedKneeBoneSegmentationandVisualisation.pdf http://eprints.utm.my/id/eprint/101146/ http://dx.doi.org/10.32802/asmscj.2022.968 |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |